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What AI is good and bad at

Attendees will be able to sort their own weekly tasks into good, mixed and poor fits for AI, and know which outputs need checking before anyone else sees them.

Free 35 min 17 slides Speaker notes

For Everyone using your AI assistant at your company

your AI programme · Session 1

What AI is good and bad at

A practical guide to where your AI assistant helps, and where it quietly lets you down.

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17 slides

your AI programme · Session 1

What AI is good and bad at

A practical guide to where your AI assistant helps, and where it quietly lets you down.

enablementlead.com1
1 Cover

What we'll cover

  • How it actually works, in one minute
  • Where it's genuinely strong
  • Where it's weak, and how that shows up
  • A quick test for any task
  • Exercise: sort your own week
  • One thing to try this week
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2 Bullets

It's not magic, and it's not useless

Most frustration comes from using it for the wrong job.

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3 Title

What's happening when you ask it something

  • It writes the most plausible next words, based on patterns
  • It doesn't know your company unless you tell it
  • It only sees what you give it, or what it's connected to
  • It sounds just as sure when it's wrong
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4 Bullets

Where it's strong

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5 Section

Three jobs it does well

  1. 01First draftsemails, summaries, outlines, replies
  2. 02Reshapingshorter, plainer, a different tone or format
  3. 03Thinking partnerquestions, options, holes in your argument
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6 Three-up

Day to day

Strong fit

  • Sales: a follow-up email after a call
  • HR: a plain-English summary of a policy change
  • Support: a first draft reply to a complaint

Needs care

  • Finance: a variance note, from your numbers
  • Anything with figures, dates or names
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7 Split

Where it's weak

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8 Section

Three places it lets you down

  1. 01Exact facts and figuresit hasn't been given
  2. 02Things it can't seeyour systems, today's news, the meeting it wasn't in
  3. 03Judgement callssomeone has to be accountable for
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9 Three-up

It gave me a beautifully formatted table of last quarter's numbers. Every figure was made up.

A finance analyst, first month with an AI assistant
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10 Quote

A quick test for any task

  • Is it mostly about words, structure or ideas?
  • Can I give it everything it needs to know?
  • Can I check the result faster than doing it myself?
  • Would a mistake be caught before it matters?
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11 Bullets

Exercise · 8 minutes

Exercise: sort your own week

  • List five tasks you did last week
  • Mark each one: good fit, mixed or poor fit
  • Circle one good fit you'll try this week
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12 Bullets

What did you find?

  • Which tasks came up as good fits?
  • Which ones surprised you?
  • Where did you disagree with your partner?
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13 Bullets

Where it surprises people

Better than expected

  • Critiquing your draft
  • Asking you questions before it starts
  • Explaining a dense document

Worse than expected

  • Counting and simple arithmetic
  • Dates and deadlines
  • Quoting a source word for word
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14 Split

Before you trust an answer

  • Every number traced back to a source
  • Names, dates and references checked
  • Nothing it couldn't have known stated as fact
  • Read it as the person receiving it would
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15 Checklist

Recap

  • Strong at drafting, reshaping and thinking with you
  • Weak at facts it wasn't given and things it can't see
  • Use the four-question test before you start
  • Check numbers, names and dates every time
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16 Bullets

This week

Do your circled task with your AI assistant before Friday. Note how long it took and what you had to fix.

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17 Closing